The application of fuzzy inference systems in overload elimination and correction

Petrović, Ivica; Józsa, Lajos; Galić, Dario

doi:10.7305/automatika.2016.02.1060

Cited by 3 publications

(2 citation statements)

References 7 publications

(11 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…-sensitivity analyses in the power industry [2][3][4][5][6], -redispatching the power of sources [7][8][9][10][11], -optimisation of power distribution in generating sources [7,[12][13][14], -optimal change of network topology (reconfiguration) [15][16][17][18], -application of the power flow tracking method [7,19], -application of methods based on artificial intelligence [14,20,21], -use of impedance coefficients [15,19], -use of phase shifters to control active power flows [13,21,22], -intuitive or "manual" determination of sensitivity of power flows in lines [19,23]. Generally, the works found in the literature mainly concern either the optimisation or tracking of power flows or the search for appropriate coefficients, and less frequently, reconfiguration.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

The impact of renewable energy sources on the overload of high voltage lines – power flow tracking versus direct current method

Pijarski,

Saigustia,

Kacejko

et al. 2024

Archives of Electrical Engineering

View full text Add to dashboard Cite

Studying the impact of renewable energy sources planned to be connected to the grid, requires the preparation of expert opinions. The task of this opinion is to verify that there are possibilities enabling the connection of the considered source to the network. Each opinion is required to take into account other facilities and those sources which were previously connected to the grid or connection agreement were signed with them. The need to take into account such a large number of sources contributes to potential thermal overloads of high-voltage lines. Sometimes these overloads are insignificant, but in certain situations it turns out that their occurrence may be a reason for refusing to sign connection agreements for new sources. According to network operators, their presence may constitute a threat to the operational security of the grid. The article presents the use of the method of tracking active power flows and the DC method of determining power flows to estimate the impact of these sources on thermal overloading of lines. Using of the IEEE-118 test network, selected nodes were analysed where connecting sources might significantly worsen overloads previously observed or would cause new overloads. The proposed approach will enable potential investors to make proper decisions regarding selection of source connection points. Combining the results obtained by both methods at the same time will allow for the indication of appropriate connection nodes for sources from the point of view of minimising the number of overloaded lines and prospective costs of their uprating.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

“…Methods based on artificial intelligence are also used to eliminate thermal overloads. In the works [20,[32][33][34] fuzzy logic and expert systems were used for this purpose. The impedance coefficient method was used in the works [15,19].…”

Section: Literature Reviewmentioning

confidence: 99%